AI/ML engineer

Job Profile: An expert Prompt engineer with a strong software engineering a background and an excellent communicator with 8+ years of experience implementing AI and ML use cases. (Primarily AI) Knowledge of Computer vision related projects. LLM Expertise: • Must have hands-on experience working with modern LLMs (OpenAI, Anthropic, LLaMA, Mistral, Gemini),as well as a strong understanding of tokenization, model behaviors, reasoning patterns, and evaluation frameworks. o Prompt Design & Optimization (zero-shot, few-shot, chain-of-thought, ReAct, self-consistency) o Structured prompt templates o Refinement (prompt chaining, decomposition, and verification strategies) o Safety, Guardrails & Compliance • Experience building conversational flows (chatbots). Retrieval-Augmented Generation (RAG) : • Work with embedding models, vector databases, context windows, and chunking strategies • Work experience in Vector database (FAISS, Milvus, Pinecone or any) Machine Learning: • Machine Learning Engineer with strong experience in building, deploying, and optimizing end-to-end ML systems. • Skilled in data preprocessing, feature engineering, model development, and production deployment using modern ML frameworks. • Proficient in Python, PyTorch/ TensorFlow, cloud services, and MLOps practices. Software Engineering: • Python proficiency. • Very good understanding and work experience with REST APIs, JSON, YAML. • Ability to integrate LLM prompts into production applications. • Familiarity with Git, version control, and experiment tracking.